Search Results - "Meng, Pinchao"
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1
On a Hybrid Approach for Recovering Multiple Obstacles
Published in Communications in computational physics (2022)Get full text
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Solving Inverse Scattering Problem with a Crack in Inhomogeneous Medium Based on a Convolutional Neural Network
Published in Symmetry (Basel) (01-01-2023)“…The direct and inverse scattering problems are a type of classical problem with symmetry. Numerical methods combined with machine learning are continuously…”
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Solving a kind of inverse scattering problem of acoustic waves based on linear sampling method and neural network
Published in Alexandria engineering journal (01-06-2020)“…This paper explores the inverse scattering problem that reconstructs the obstacle shape with far-field information in the acoustic environment. Taking the…”
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4
Dual-Driven Solver for Reconstructing the Point Sources of Elastic Wave Based on Far-Field Data
Published in Universe (Basel) (01-03-2023)“…Aiming at the inverse source problem of an elastic wave, a dual-driver solver is considered to reconstruct the point sources. In this way, the number,…”
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ODE-RU: a dynamical system view on recurrent neural networks
Published in Electronic research archive (01-01-2022)“…The core of the demonstration of this paper is to interpret the forward propagation process of machine learning as a parameter estimation problem of nonlinear…”
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Data-driven assessment of immune evasion and dynamic Zero-COVID policy on fast-spreading Omicron in Changchun
Published in Mathematical biosciences and engineering : MBE (01-01-2023)“…Due to its immune evasion capability, the SARS-CoV-2 Omicron variant was declared a variant of concern by the World Health Organization. The spread of Omicron…”
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Evaluation of the Software Industry Competitiveness in Jilin Province Based on Factor Analysis
Published in Cybernetics and information technologies : CIT (01-01-2014)“…In this paper 12 economic indices of the software industry in 30 cities/provinces in China are used to set up an evaluation system for the competitiveness of…”
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A neural network method for time-dependent inverse source problem with limited-aperture data
Published in Journal of computational and applied mathematics (15-03-2023)“…This paper is concerned with the mathematical design of a novel gesture-based input/instruction device with identification and prediction using a moving…”
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Efficient synchronous retrieval of OAM modes and AT strength using multi-task neural networks
Published in Optics express (26-02-2024)“…Encoding information using OAM beams as carriers greatly alleviates the capacity crisis in communication systems. When transmitted through the atmospheric…”
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An online interactive physics-informed adversarial network for solving mean field games
Published in Engineering analysis with boundary elements (15-12-2024)“…We propose an online interactive physics-informed adversarial network (IPIAN) to address mean field games (MFGs) from the perspective of physics-informed…”
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A Neural Network Method for Inversion of Turbulence Strength
Published in Journal of nonlinear mathematical physics (08-04-2024)“…Accurate inversion of atmospheric turbulence strength is a challenging problem in modern turbulence research due to its practical significance. Inspired by…”
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Research on recovering scattering obstacles in inhomogeneous medium based on Bayesian method
Published in Applicable analysis (21-11-2024)“…In this paper, the problem of acoustic wave scattering by obstacles in the two-dimensional inhomogeneous medium is considered. When the refractive index is a…”
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13
Reflections on teaching of complex function and integral transformation
Published in 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet) (01-04-2012)“…"Complex function and integral transformation" is an important professional foundation course. Integrated into the history of mathematics in teaching in…”
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Conference Proceeding -
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Data Fitting Based on Genetic Programming and Least Square Method
Published in Chemical engineering transactions (01-12-2015)“…Traditional data fitting techniques usually require estimating basis function and they are specific for different application areas. Based on dynamic…”
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